Computational model combined with in vitro experiments to analyse mechanotransduction during mesenchymal stem cell adhesion
Jean-Louis Milan (ISM), Sandrine Lavenus (IMN), Paul Pilet (LIOAD),, Guy Louarn (IMN), Sylvie Wendling (ISM), Dominique Heymann, Pierre Layrolle,, Patrick Chabrand (ISM)

TL;DR
This study combines computational modeling and in vitro experiments to analyze how mechanical signals during mesenchymal stem cell adhesion influence cell shape, cytoskeleton reorganization, and mechanotransduction pathways, aiding biomaterial design.
Contribution
It introduces the Cytoskeleton Divided Medium (CDM) model to quantitatively simulate cell adhesion mechanics and cytoskeleton dynamics during spreading.
Findings
Intracellular tension and focal adhesion forces increase with cell spreading.
The model predicts cytoskeleton reorganization during cell spreading.
Mechanical signals correlate with cell shape and differentiation potential.
Abstract
The shape that stem cells reach at the end of adhesion process influences their differentiation. Rearrangement of cytoskeleton and modification of intracellular tension may activate mechanotransduction pathways controlling cell commitment. In the present study, the mechanical signals involved in cell adhesion were computed in in vitro stem cells of different shapes using a single cell model, the so-called Cytoskeleton Divided Medium (CDM) model. In the CDM model, the filamentous cytoskeleton and nucleoskeleton networks were represented as a mechanical system of multiple tensile and compressive interactions between the nodes of a divided medium. The results showed that intracellular tonus, focal adhesion forces as well as nuclear deformation increased with cell spreading. The cell model was also implemented to simulate the adhesion process of a cell that spreads on protein-coated…
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Taxonomy
TopicsMicrofluidic and Bio-sensing Technologies
